AI and Legal Tech: Insights from Leo Park In this episode of Work AI, host Joshua Schoen interviews Leo Park, a seasoned professional in software development, engineering, and legal tech, with a special focus on Lex Machina.

We discuss the iterative process of extracting and classifying legal data, the advantages of large language models (LLMs) in legal applications, and the importance of using refined queries and rag-based systems. The conversation delves into the current and future challenges of using LLMs in legal research and how small language models could offer efficient solutions.

00:00 Introduction to Claude's Internal Thinking Process

00:40 Meet Leo Park: A Multifaceted Professional

02:25 Journey into Legal Tech with Lex Machina

03:55 Challenges and Solutions in Legal Data Extraction

09:03 The Role of LLMs in Legal Applications

12:25 Critique of Stanford's RAG-Based System

23:59 User Interaction and UI Design in LLMs

26:03 Future of LLMs in Legal Tech

34:23 Experimenting with Fine-Tuning Models

35:18 Conclusion and Final Thoughts

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